



'''simple docstring'''

from typing import Callable, Optional

from .. import Features
from ..packaged_modules.generator.generator import Generator
from .abc import AbstractDatasetInputStream

class 							a__( snake_case__     ):






			def __init__(     self					,   _UpperCAmelCase					,   _UpperCAmelCase = None					,   _UpperCAmelCase = None					,   _UpperCAmelCase = False					,   _UpperCAmelCase = False					,   _UpperCAmelCase = None					,   _UpperCAmelCase = None					,   **_UpperCAmelCase					,   )							->							List[str]:
					super().__init__(
					    features=_UpperCAmelCase					,   cache_dir=_UpperCAmelCase					,   keep_in_memory=_UpperCAmelCase					,   streaming=_UpperCAmelCase					,   num_proc=_UpperCAmelCase					,   **_UpperCAmelCase					,   )
					snake_case__	     =Generator(
					    cache_dir=_UpperCAmelCase					,   features=_UpperCAmelCase					,   generator=_UpperCAmelCase					,   gen_kwargs=_UpperCAmelCase					,   **_UpperCAmelCase					,   )






			def 						_lowercase  (     self						)							->							str:
					# Build iterable dataset
					if self.streaming:
							snake_case__	     =self.builder.as_streaming_dataset(split='train'						)
					# Build regular (map-style) dataset
					else:
							snake_case__	     =None
							snake_case__	     =None
							snake_case__	     =None
							snake_case__	     =None

							self.builder.download_and_prepare(
							    download_config=_UpperCAmelCase					,   download_mode=_UpperCAmelCase					,   verification_mode=_UpperCAmelCase					,   base_path=_UpperCAmelCase					,   num_proc=self.num_proc					,   )
							snake_case__	     =self.builder.as_dataset(
							    split='train'					,   verification_mode=_UpperCAmelCase					,   in_memory=self.keep_in_memory						)
					return dataset









'''simple docstring'''

from __future__ import annotations






def 				a  (     UpperCamelCase_    :    list[int]      ,					UpperCamelCase_    :    list[int]      ,					UpperCamelCase_    :    int			)       ->	tuple[float, list[float]]:
		snake_case__	     =list(range(len(UpperCamelCase_			)			)			)
		snake_case__	     =[v / w for v, w in zip(UpperCamelCase_      ,					UpperCamelCase_			)]
		index.sort(key=lambda UpperCamelCase_			: ratio[i]      ,					reverse=UpperCamelCase_			)

		snake_case__	     =0
		snake_case__	     =[0] * len(UpperCamelCase_			)
		for i in index:
				if weight[i] <= capacity:
						snake_case__	     =1
						max_value += value[i]
						capacity -= weight[i]
				else:
						snake_case__	     =capacity / weight[i]
						max_value += value[i] * capacity / weight[i]
						break

		return max_value, fractions


if __name__ == "__main__":
			import doctest

			doctest.testmod()




